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Paper Citation Record · LEDGER

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.07820.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.07820 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:08:08.617606Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy13
  • unresolved17
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 4829425e-635c-4dd4-8b62-0dfe9c46bc7e · outbound

This paper cites A Survey on Multi-Task Learning.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A Survey on Multi-Task Learning

Reference 1

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Observation 13dea557-9ad7-4e56-981a-b22d93f9c132 · outbound

This paper cites Rich, Multitask learning, Machine Learning., 28, , 41–75, (1997),.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Rich, Multitask learning, Machine Learning., 28, , 41–75, (1997),

Reference 2

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Observation a114a445-b05a-46ee-a089-ded1e44c9460 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing An Overview of Multi-Task Learning in Deep Neural Networks

Reference 3

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Observation 51cfd4f2-83b6-4d38-ad7c-cba2577326f5 · outbound

This paper cites Liqiang, Z.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Liqiang, Z

Reference 4

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Observation 538e443b-39c1-495f-ae3e-f23a3e032a59 · outbound

This paper cites Ishan, S.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Ishan, S

Reference 5

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Observation 099740d1-6392-40f3-89ef-f3500a9dbaaf · outbound

This paper cites Latent Multi-task Architecture Learning.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Latent Multi-task Architecture Learning

Reference 6

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Observation e5aae897-58cf-44f3-816c-76e01a6f314a · outbound

This paper cites Multi-Task Deep Neural Networks for Natural Language Understanding.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 7

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Observation a9c2bbd8-db23-4daa-b340-0501c5e5fec8 · outbound

This paper cites Recurrent Neural Network for Text Classification with Multi-Task Learning.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Recurrent Neural Network for Text Classification with Multi-Task Learning

Reference 8

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Observation 887ab7d6-e72e-4a36-9b64-556c7e53f35d · outbound

This paper cites Adversarial Multi-task Learning for Text Classification.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Adversarial Multi-task Learning for Text Classification

Reference 9

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Observation c4f42657-37d8-4207-bc5b-04172c46aa88 · outbound

This paper cites Anders , G.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Anders , G

Reference 10

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Observation a98f49f6-1f23-4208-a4e5-11b5412a37f5 · outbound

This paper cites A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Reference 11

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Observation 74a46966-47e0-466e-b8b1-71c834f3091d · outbound

This paper cites Sepp , S.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Sepp , S

Reference 12

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Observation b7a0fbe9-5e1b-4a38-b207-e30e68b8fb98 · outbound

This paper cites Jeffreyl, Finding structure in time, Cognitive Science., 14, , 179–211, (1990),.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Jeffreyl, Finding structure in time, Cognitive Science., 14, , 179–211, (1990),

Reference 13

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2f19e522-0feb-4566-9d69-8beb3af120dd · outbound

This paper cites Enhanced LSTM for Natural Language Inference.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Enhanced LSTM for Natural Language Inference

Reference 14

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Observation 6ecf0e22-c35b-42ec-98e1-e3aad7bc250e · outbound

This paper cites Konstantinos, T.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Konstantinos, T

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dbf44492-0fc0-4786-9971-65899545d6c3 · outbound

This paper cites Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

Reference 16

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Observation e10b4dc0-ca03-4bc0-bbbd-09b5beede143 · outbound

This paper cites Brianw, Comparison of the predicted and observed secondary structure of T4 phage lysozyme, Biochimica Et Biophysica Acta (bba)-protein Structure., 405, , 442–451, (1975),.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Brianw, Comparison of the predicted and observed secondary structure of T4 phage lysozyme, Biochimica Et Biophysica Acta (bba)-protein Structure., 405, , 442–451, (1975),

Reference 18

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Observation f5672197-d112-4a70-936d-5a015320a1fe · outbound

This paper cites Richard, P.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Richard, P

Reference 19

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Observation 4b5e9f98-75c0-4899-9fef-32fd83f44d85 · outbound

This paper cites Williamb , B.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Williamb , B

Reference 20

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Observation 7dade52f-a00a-4e01-9e20-db52de2214ff · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 21

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Observation dbd5d996-5dcb-4b85-9de2-b2b8e7baf19e · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 22

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Observation 9b032806-5205-4bd9-99c0-a2d189e412fc · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 23

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Observation 04a5123b-4eed-43ed-ab99-bcb245a89184 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 24

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Observation 2989673e-44be-48dd-ba9e-da4aadbbbd02 · outbound

This paper cites Neural Network Acceptability Judgments.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Neural Network Acceptability Judgments

Reference 25

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Observation 52f722d7-986e-451a-825b-173e27477cc9 · outbound

This paper cites Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

Reference 26

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Observation 292af90d-a657-4e2c-a79d-36b3e96c9faf · outbound

This paper cites Multi-Task Cross-Lingual Sequence Tagging from Scratch.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Multi-Task Cross-Lingual Sequence Tagging from Scratch

Reference 27

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Observation 33b67a42-1547-4485-8966-1f87d6127f8b · outbound

This paper cites A large annotated corpus for learning natural language inference.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A large annotated corpus for learning natural language inference

Reference 28

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Observation cd0fa290-add4-40bb-b26a-4cf63b6d31fa · outbound

This paper cites Tushar, S.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Tushar, S

Reference 29

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Observation 1d4cfba0-2ff8-4686-97b7-1ed998f3a19a · outbound

This paper cites Mathieu, E.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Mathieu, E

Reference 30

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Observation 41b4d74e-94d1-4f96-b83e-8a45e7b322e6 · outbound

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Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Unresolved cited work

Reference 31

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Observation 4f9fe470-0386-4844-afc5-a3f65d9ce800 · outbound

This paper cites Trace Norm Regularised Deep Multi-Task Learning.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Trace Norm Regularised Deep Multi-Task Learning

Reference 32

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Observation e6bb8aff-5710-4016-a2dc-6f2f75cb4c1c · outbound

This paper cites Mitchell, S.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Mitchell, S

Reference 33

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Observation 81d14034-e91c-4c58-b254-f8ca09efcc78 · outbound

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Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Unresolved cited work

Reference 34

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Observation 31f6defb-2f81-4b90-8d0b-feab16e15a4c · outbound

This paper cites Constituency Parsing with a Self-Attentive Encoder.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Constituency Parsing with a Self-Attentive Encoder

Reference 35

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local_arxiv, observed 2026-08-14T13:08:08.681558Z

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Pith citing papers

No inbound Pith citation observations are available.